Titlebook: Advances in Mathematical and Statistical Modeling; Roberto Minguez,Jose-Maria Sarabia,Barry C. Arnold Book 2008 Birkhäuser Boston 2008 Est

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https://doi.org/10.1007/978-3-642-84499-7for longitudinal data under the assumption that covariates are time independent. Predictive distributions are shown to be easily computed analytically, as well as future premiums that can be calculated using the classical credibility theory.

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https://doi.org/10.1007/978-3-642-84499-7ameters, were known, or would be readily assessable from a preliminary principal components analysis. In this study, we provide an empirical Bayes (EB) way of assessing the hyperparameters from the current data, and we show, using the AIC and BIC criteria, that it improves upon the suggested assessment method of the PS model.

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Book 2008eling, extreme value analysis, multivariate distribution theory, Bayesian networks, neural networks, functional equations, artificial intelligence, linear algebra, optimization methods, numerical methods, reliability engineering, as well as sensitivity analysis and its applications. Organized to hon

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Enrique Castillo’s Contributions to Conditional Specification978-3-642-66152-5

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Modelling of Insurance Claim Count with Hurdle Distribution for Panel Data978-3-642-80174-7